tf.contrib.distributions.NormalWithSoftplusSigma.dtype The DType of Tensors handled by this Distribution.

class tf.contrib.framework.VariableDeviceChooser Device chooser for variables. When using a parameter server it will assign them in a round-robin fashion. When not using a parameter server it allows GPU or CPU placement.

void tensorflow::Tensor::FillDescription(TensorDescription *description) const Fill in the TensorDescription proto with metadata about the tensor that is useful for monitoring and debugging.

tf.contrib.learn.monitors.CaptureVariable.every_n_post_step(step, session) Callback after a step is finished or end() is called. Args: step: int, the current value of the global step. session: Session object.

tf.contrib.graph_editor.detach_control_outputs(sgv, control_outputs) Detach all the external control outputs of the subgraph sgv. Args: sgv: the subgraph view to be detached. This argument is converted to a subgraph using the same rules as the function subgraph.make_view. control_outputs: a util.ControlOutputs instance.

void tensorflow::Status::operator=(const Status &s)

tf.contrib.distributions.Categorical.logits

Status tensorflow::Env::GetRegisteredFileSystemSchemes(std::vector< string > *schemes) Returns the file system schemes registered for this Env .

Status tensorflow::PartialTensorShape::IsValidShape(const TensorShapeProto &proto) Returns OK iff proto is a valid tensor shape, and a descriptive error status otherwise.

class tf.contrib.distributions.QuantizedDistribution Distribution representing the quantization Y = ceiling(X).